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Severine Soltani

@severinesoltani

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Data & Machine Learning Scientist specializing in multimodal wearable physiology and longitudinal health insights.

United States

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What I'm looking for

I seek a research-focused role leveraging wearable physiological data and ML to produce actionable health insights, with collaborative teams, robust engineering practices, and mentoring opportunities.

I am a data and machine learning scientist with a Ph.D. in Bioinformatics and Systems Biology and four years analyzing multimodal wearable physiological data alongside eight years of statistical modeling and machine learning experience.

My research has produced multiple peer-reviewed publications and conference presentations, and I built robust pipelines for SQL querying, preprocessing, feature extraction, and time-frequency signal analysis while modernizing SDLC practices in a lab environment.

I mentor research assistants, teach undergraduate and graduate courses in statistics and data science in biomedicine, and focus on developing adaptive algorithms that leverage longitudinal data to generate actionable health insights.

Experience

Work history, roles, and key accomplishments

Graduate Student Researcher

University of California, San Diego

Jan 2021 - Jan 2025 (4 years)

Led analysis of multimodal wearable device data to identify physiological patterns predictive of aging, mental health, and clinical outcomes, producing 11 publications and multiple conference presentations. Built SQL pipelines, signal-processing feature extraction, and a lab-wide GitHub codebase to modernize SDLC and improve cross-project reuse.

Python Matlab Signal Processing Time Series Analysis SQL Git Github PyTorch Data Pipelines

Teaching Assistant

University of California, San Diego

Jan 2023 - Jan 2024 (1 year)

Taught undergraduate and graduate courses in measurements, statistics, and data science in biomedicine, covering hypothesis testing, Bayesian methods, HMMs, and ethics in health AI, earning 98% positive evaluations. Designed course materials and mentored students in scientific communication and data visualization.

Teaching Statistics Hidden Markov Models Data Visualization Scientific Communications Python Jupyter Notebooks

Laboratory Assistant

University of California, San Diego

Jan 2018 - Jan 2021 (3 years)

Researched user preferences for explainable AI and applied unsupervised learning for dimensionality reduction to link facial features with perceived character traits. Supported experiments and contributed to publications on explainable AI.

Unsupervised Learning Dimension Reduction Explainable AI Python Data Analysis Experimental Design Matlab

Education

Degrees, certifications, and relevant coursework

University of California, San Diego

Doctor of Philosophy, Bioinformatics and Systems Biology

2021 - 2025

Grade: 4.0 GPA

Activities and societies: Graduate Student Researcher; teaching assistant; laboratory assistant; authored multiple publications and conference presentations.

Ph.D. in Bioinformatics and Systems Biology with research on multimodal wearable-device physiological data and machine learning applications in health.